Update README.md

README.md

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----
-license: mit
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+---
+license: mit
+library_name: pytorch
+pipeline_tag: image-classification
+tags:
+- skin-disease
+- medical-imaging
+- cnn
+- deep-learning
+- healthcare
+---
+
+# Skin Diseases Detection Model (DermaDL)
+
+## Overview
+DermaDL is a deep learning–based **skin disease detection model** trained on dermoscopic images.  
+It uses a **Convolutional Neural Network (CNN)** to classify multiple skin conditions and is intended for **research, educational, and prototype applications**.
+
+> ⚠️ **Disclaimer:** This model is NOT a medical diagnostic tool and should not be used as a substitute for professional medical advice.
+
+---
+
+## Model Details
+- **Task:** Image Classification
+- **Architecture:** CNN with Transfer Learning
+- **Framework:** PyTorch
+- **Input Size:** 224 × 224 RGB images
+- **Accuracy:** ~91% (validation set)
+
+---
+
+## Supported Skin Conditions
+- Melanoma  
+- Basal Cell Carcinoma  
+- Squamous Cell Carcinoma  
+- Benign Keratosis  
+- Actinic Keratosis  
+- Dermatofibroma  
+- Vascular Lesions  
+- Nevus  
+
+*(Class labels may vary depending on dataset version)*
+
+---
+
+## Training Information
+- **Dataset:** Public dermoscopic skin lesion datasets
+- **Loss Function:** Cross-Entropy Loss
+- **Optimizer:** Adam
+- **Evaluation Metric:** Accuracy
+- **Data Augmentation:** Rotation, flipping, normalization
+
+---
+
+## How to Use
+
+### 1️⃣ Install Dependencies
+```bash
+pip install torch torchvision pillow